TY - GEN
T1 - Development of a Simple and Novel Digital Twin Framework for Industrial Robots in Intelligent Robotics Manufacturing
AU - Xiang, Tianyi
AU - Li, Borui
AU - Pan, Xiaonan
AU - Zhang, Quan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper has proposed an easily replicable and novel approach for developing a Digital Twin (DT) system for industrial robots in intelligent manufacturing applications. Our framework enables effective communication via Robot Web Service (RWS), while a real-time simulation is implemented in Unity 3D and Web-based Platform without any other 3rd party tools. The framework can do real-time visualization and control of the entire work process, as well as implement real-time path planning based on algorithms executed in MATLAB. Results verify the high communication efficiency with a refresh rate of only 17ms. Furthermore, our developed web-based platform and Graphical User Interface (GUI) enable easy accessibility and user-friendliness in real-time control.
AB - This paper has proposed an easily replicable and novel approach for developing a Digital Twin (DT) system for industrial robots in intelligent manufacturing applications. Our framework enables effective communication via Robot Web Service (RWS), while a real-time simulation is implemented in Unity 3D and Web-based Platform without any other 3rd party tools. The framework can do real-time visualization and control of the entire work process, as well as implement real-time path planning based on algorithms executed in MATLAB. Results verify the high communication efficiency with a refresh rate of only 17ms. Furthermore, our developed web-based platform and Graphical User Interface (GUI) enable easy accessibility and user-friendliness in real-time control.
UR - http://www.scopus.com/inward/record.url?scp=85208236399&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711459
DO - 10.1109/CASE59546.2024.10711459
M3 - Conference Proceeding
AN - SCOPUS:85208236399
T3 - IEEE International Conference on Automation Science and Engineering
SP - 4187
EP - 4193
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -